Senior Software Engineer, Evaluators, Learning Commons
External
Education · Redwood City, CA (hybrid)Prepare for this interview
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About the role
Learning Commons aims to scale proven learning science practices through AI-powered tools, datasets, and evaluation frameworks. As part of the Evaluators team, you will play a critical role in ensuring that AI and education products are grounded in rigorous, research-backed evaluation. You will design and build core infrastructure that powers how educational tools are assessed, improved, and trusted. You will work at the intersection of AI, learning science, and product development to create evaluation systems and applications that are rigorous, scalable, and usable by educators and developers. You will collaborate closely with product managers, data scientists, learning scientists, and external partners to define what "quality" means in educational technology-and build the systems that measure it.
Responsibilities
- Design and build scalable evaluation systems, pipelines, and services for edtech AI products
- Develop frameworks for benchmarking, scoring, and analyzing learning outcomes and product performance
- Collaborate with cross-functional partners (product, data science, learning science, design) to translate research into production systems
- Improve developer workflows and tooling for running evaluations and experiments
- Contribute to architecture decisions, technical strategy, and best practices across the team
- Mentor engineers and contribute to a strong engineering culture
Requirements
- 5+ years of software engineering experience building production systems
- Strong programming skills in Typescript, Python
- Experience using AI coding tools
- Experience building full-stack applications in cloud-based systems
- Demonstrated ability to adapt and deliver solutions in early-stage development environments
- Experience collaborating with cross-functional teams including product managers and data scientists
- Strong communication skills and ability to explain technical concepts clearly
Benefits
Additional Information
Learning Commons aims to scale proven teaching and learning practices to benefit every learner by building AI infrastructure that better connects the way students learn to the tools they learn with. The Team At Learning Commons, we operate at the intersection of technology, research, and philanthropy. We pair product development with grantmaking to scale proven teaching and learning practices for the benefit of every learner. We aim to bring learning science into the tools educators and students use every day. Our work is grounded in a deep belief: when technology reflects the realities of classrooms and the science of how students learn, it can meaningfully strengthen teaching and unlock new possibilities for students. The rise of generative AI offers us a once-in-a-generation opportunity to dramatically accelerate the translation of research insights into practical, classroom-ready tools; tools that honor teachers' expertise, adapt to students' needs, and make effective learning practices easier to access, implement, and sustain. In today's fragmented edtech landscape, school districts are often left piecing together products that don't always align with curricula or instructional needs. While AI holds enormous potential to support teachers and students, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That's why we're building open, public-purpose infrastructure - datasets, rubrics, and resources - that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers.
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